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Python for Finance

You're reading from   Python for Finance Apply powerful finance models and quantitative analysis with Python

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Product type Paperback
Published in Jun 2017
Publisher
ISBN-13 9781787125698
Length 586 pages
Edition 2nd Edition
Languages
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Author (1):
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Yuxing Yan Yuxing Yan
Author Profile Icon Yuxing Yan
Yuxing Yan
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Table of Contents (17) Chapters Close

Preface 1. Python Basics FREE CHAPTER 2. Introduction to Python Modules 3. Time Value of Money 4. Sources of Data 5. Bond and Stock Valuation 6. Capital Asset Pricing Model 7. Multifactor Models and Performance Measures 8. Time-Series Analysis 9. Portfolio Theory 10. Options and Futures 11. Value at Risk 12. Monte Carlo Simulation 13. Credit Risk Analysis 14. Exotic Options 15. Volatility, Implied Volatility, ARCH, and GARCH Index

Chooser options

For a chooser option, it allows the option buyer to choose, at a predetermined point of time before the option matures whether it is a European call or a European put. For a simple chooser option, the underlying call and put options have the same maturities and exercise prices. Let's look at two extreme cases. The option buyer has to make a decision today, that is, when they make such a purchase. The price of this chooser option should be the maximum of call and put options since the option buyer does not have more information. The second extreme case is the investor could make a decision on the maturity date. Since the call and put have the same exercise prices, if the call is in the money, the put should be out of money. The opposite is true. Thus, the price of a chooser option should be the summation of the call and the put. This is equivalent to buy a call and a put with the same exercise prices and maturity dates. In Chapter 10, Options and Futures we know such...

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